Postdoctoral Research Fellowship in Biological Informatics for FY 2002

这一行动为NSF 2002财年生物信息学博士后研究奖学金提供了资金。该奖学金支持生物学与信息科学、计算科学、数学科学和统计科学交叉的博士后水平的研究和培训。该研究金的目标是为一名青年科学家提供培训，为从事生物信息学的职业做准备，在生物信息学中将把研究和教育结合起来。各个职业层次对生物信息学的培训需求日益增加，预计通过这些奖学金培训的研究员将在培训未来的劳动力方面发挥重要作用。该奖学金的研究和培训计划题为“小动物热环境建模的新程序”。热资源在景观上的时空分布影响着生物的丰度和分布。现有的评估热生境的技术不能充分反映大多数环境的复杂性。正在开发新的程序，使用结合了热像成像和微气候数据的人工神经网络来生成详细的动态热图。

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for FY2002. The fellowship supports research and training at the postdoctoral level at the intersection of biology and the informational, computational, mathematical, and statistical sciences. The goal of the fellowship is to provide training to a young scientist in preparation for a career in biological informatics in which research and education will be integrated. There is an increasing need for training in biological informatics at all occupational levels, and it is expected that Fellows trained through these fellowships will play important roles in training the future workforce.The research and training plan for this fellowship is entitled "New procedures for modelling the thermal environment of small animals." The spatial and temporal distribution of thermal resources across landscapes influences the abundance and distribution of organisms. Existing techniques to evaluate thermal habitats do not adequately represent the complexity of most environments. Novel procedures are being developed to generate detailed, dynamic, thermal maps using artificial neural networks that incorporate thermographic imaging and microclimate data.